2017
DOI: 10.1587/elex.14.20170130
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Rotor dynamic balancing control method based on fuzzy auto-tuning single neuron PID

Abstract: In order to improve the control efficiency and balance accuracy of rotor automatic balance, a fuzzy self-tuning single neuron PID control method is proposed in this paper. Based on the single neuron PID control method, the fuzzy control theory is introduced to adjust the output gain K of single neuron PID control to realize single neuron PID control with variable step size. In order to verify the superiority of this method, the method we designed in this paper is compared with the traditional PID control metho… Show more

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Cited by 13 publications
(11 citation statements)
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“…The new estimated values ofR k can be calculated according to Equation (22), and then the gain parameters can be calculated and renewed by replacing the parameter of R byR k in Equation (14).…”
Section: The Self-adaption Methods Of the Gain Parametersmentioning
confidence: 99%
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“…The new estimated values ofR k can be calculated according to Equation (22), and then the gain parameters can be calculated and renewed by replacing the parameter of R byR k in Equation (14).…”
Section: The Self-adaption Methods Of the Gain Parametersmentioning
confidence: 99%
“…If the system is stable at all discrete speeds, it can be assumed that the system is stable during the entire transmission period. When the speed is constant, Equation (10) is substituted to Equation (14) to obtain the following formula:…”
Section: The Gain Scheduling Control Principlementioning
confidence: 99%
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“…It is widely used because of its simplicity, flexibility and stability [17,18]. Based on the initial system model of rotor, the schematic diagram of PID control system is shown in Fig.…”
Section: The Design Of Pid Controllermentioning
confidence: 99%
“…The switching system is a concept in the field of control engineering. "Switching" as an idea was first introduced into 2 Complexity the control system from the switching servo system [10,[18][19][20][21]. It is determined by the switching rule to switch the subsystem, and only one subsystem can work at each moment [14][15][16][17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%